In MRI, longitudinal acquisition protocols such as arterial spin labeling are susceptible to patient motion; this work focused on implementing 3D GRASE with BLADE readout trajectory as an alternative to Cartesian readout to increase robustness of sequence with regards to motion. Virtual data simulation and involuntary patient motion data were used to evaluate the performance of this approach with different levels of patient motion. Image reconstruction embedded with self-referenced custom rigid motion correction algorithm was developed and tested on both simulated and patient data. Results confirming superiority of SNR and motion correction capabilities offered by Blade strategy over Cartesian.
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